Design an Asynchronous Video Moderation Pipeline with ML Risk Scores and a Rules Engine

Read the full interview experience this question came from →

Quick Overview

Design an asynchronous video moderation pipeline that scores published videos with many ML risk models, applies configurable rules to the scores, and triggers takedowns or bans through downstream services. Covers versioned models and rules, decision audit trails, rule configuration, result feedback, scaling, and failure handling.

Design an Asynchronous Video Moderation Pipeline with ML Risk Scores and a Rules Engine

Company: ByteDance

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Overview: Design an asynchronous video moderation pipeline that scores published videos with many ML risk models, applies configurable rules to the scores, and triggers takedowns or bans through downstream services. Covers versioned models and rules, decision audit trails, rule configuration, result feedback, scaling, and failure handling.

Read the full ByteDance Software Engineer interview experience this question came from

ByteDance logo
ByteDance
Sep 6, 2026
mediumSoftware EngineerTechnical ScreenSystem Design
2
0
Loading...